dev.tanod/ml

up checked 2026-11-11T09:39:18.990Z

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Publisher-provided title

Embeddings, Rerank & Speech-to-Text (Tanod)

Publisher-provided description

Speech denoise, transcripts (SRT/VTT), embeddings, reranking, entities and translation.

Summary by lookupd

Denoises and transcribes audio, creates text and image embeddings, reranks documents, extracts entities, and translates text and speech.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http ml https://tanod.dev/mcp/ml

Codex, remote (streamable-http)

codex mcp add ml --url https://tanod.dev/mcp/ml

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "ml": {
      "url": "https://tanod.dev/mcp/ml"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (19 tools)

Publisher-provided text

• embed_texts mlpeek: Create text embeddings. For images too use embed_multimodal; for pair scores use text_similarity. Returns 384-dimension embeddings of 1-64 texts with bg
• embed_multimodal mlpeek: Create multimodal embeddings: images and text in one vector space. For text only use embed_texts. Returns 768-dim vectors of texts and images (URL or ba
• rerank_documents mlpeek: Rerank up to 100 documents against a query. For pair scores use text_similarity. Returns 1-100 documents scored against a query by the ms-marco-MiniLM-L
• text_similarity mlpeek: Score the semantic similarity of one or up to 50 text pairs. To rank documents against a query use rerank_documents. Returns the cosine similarity of th
• extract_entities mlpeek: Extract named entities: people, organisations, places, dates, money, ... For fields of your own schema use extract_json_with_schema. Returns named entit
• classify_zero_shot mlpeek: Classify a text into 1-10 of your labels. For named entities use extract_entities. Returns scores of 1-10 caller-supplied labels for an English text wit
• text_sentiment utilpeek: Analyze the sentiment of an English text. For your own labels use classify_zero_shot; for counts use text_stats. Returns VADER sentiment of an English
• text_keywords utilpeek: Extract the keywords and keyphrases of a text. For raw frequencies use text_frequency; for names and places use extract_entities. Returns the top keyp
• text_summarize utilpeek: Summarize a text by picking its key sentences. For paper abstracts use paper_digest; for counts use text_stats. Returns an extractive summary: the mos
• detect_language utilpeek: Detect the language of a text. To translate use translate_text. Returns the most likely language (ISO 639-1 and 639-3 code, name, confidence) and 3 al
• denoise_audio mlpeek: Reduce background noise in speech audio. Returns mono 12 kHz WAV/MP3/Ogg speech audio with steady noise reduced by FFmpeg afftdn (no model weights), dur
• transcribe_audio mlpeek: Speech to text and subtitles: transcribe audio to text, timed segments, SRT and WebVTT. For a podcast episode use transcribe_podcast_episode; to transla
• transcribe_podcast_episode mlpeek: Transcribe a podcast episode from its RSS feed: a window of up to 10 minutes as text, timed segments, SRT. For your own audio use transcribe_audio. Retu
• translate_text mlpeek: Translate text between English and 14 languages. For a PDF use translate_document; for audio use translate_speech; to only name the language use detect_
• check_text_for_prompt_injection mlpeek: Check text for prompt injection before an agent acts on it. For hidden Unicode use text_unicode_inspect. Returns a `verdict`, a `score` (0-1; `injection
• extract_json_with_schema mlpeek: Extract JSON from text that always matches your JSON Schema. For fixed entity types use extract_entities. Returns `data`, JSON extracted from the `text`
• text_to_speech mlpeek: Speak text aloud in 41 voices: English, Spanish, French, Hindi, Italian, Portuguese. For audio to text use transcribe_audio. Returns the text spoken as
• translate_speech mlpeek: Translate speech: audio to English or 14 languages, optionally spoken. For a transcript in the spoken language use transcribe_audio. Returns speech tran
• translate_document pdfpeek: Translate a PDF document, digital or scanned, to English or 14 languages as Markdown. For plain text use translate_text. Returns each page's text (text

Details

• Version: 0.1.3
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 2161 ms
• First indexed: 2026-11-01T09:01:42.101Z
• Last seen in registry: 2026-11-09T14:17:23.759Z
• Repository: https://github.com/tanod-labs/tanod-mcp
• Website: https://tanod.dev

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